diff --git a/data-mesh-banking-labs/lab2-data-security/README.md b/data-mesh-banking-labs/lab2-data-security/README.md
index 1d7f7c9..4b9eb7c 100644
--- a/data-mesh-banking-labs/lab2-data-security/README.md
+++ b/data-mesh-banking-labs/lab2-data-security/README.md
@@ -95,7 +95,7 @@ Here you will grant "customer-sa@" service account the data owner role for custo
 
     curl -X \
     GET -H \
-    "Authorization: Bearer $(gcloud auth print-access-token --impersonate -service-account=customer-sa@${PROJECT_ID}.iam.gserviceaccount.com)" -H \
+    "Authorization: Bearer $(gcloud auth print-access-token --impersonate-service-account=customer-sa@${PROJECT_ID}.iam.gserviceaccount.com)" -H \
     "Content-Type: application.json"  https://bigquery.googleapis.com/bigquery/v2/projects/${PROJECT_ID}/datasets/customer_refined_data/tables?maxResults=10
     ```
     Sample output: 
@@ -251,4 +251,4 @@ In this lab you have learned:
 
 This concludes the lab module. Either proceed to the [main menu](../README.md) or to the [next module](../lab3-data-curation/README.md) you will curate and standardize the data using Dataplex dataflow templates based task. 
 
-<hr>
\ No newline at end of file
+<hr>